llm-fine-tuning

This repository contains all the notebooks, resources, and documentation used to develop and evaluate models for the Automated Essay Scoring (AES) Kaggle competition. The project aims to build an open-source solution for automated essay evaluation to support educators and provide timely feedback to students.

text-classification linear-regression lightgbm essay-scoring llm-fine-tuning

Updated Dec 30, 2024
Jupyter Notebook

hishamp3 / codeDetection

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Django implementation of CodeBERT for detecting vulnerable code.

django-framework html-css codebert large-language-models llm-fine-tuning

Updated Dec 29, 2023
Python

mrs83 / FlowerTune-Mistral-7B-Instruct-v0.3-Medical

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FlowerTune LLM on Medical Dataset

machine-learning ai ml federated-learning federated-learning-framework llm-training mistralai llm-finetuning mistral-7b llm-fine-tuning

Updated Dec 3, 2024
Python

Jatin-Mehra119 / Plagiarism-detector-using-smolLM-

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A web app for detecting plagiarism between two PDFs. Users can upload PDF files, and the app will detect plagiarism by leveraging a fine-tuned LLM model (SmolLM2-135M) trained on the MIT Plagiarism Detection Dataset.

huggingface-transformers llm-training llm-fine-tuning

Updated Dec 22, 2024
Jupyter Notebook

paraglondhe098 / sentiment-classification-llm

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Implemented and fine-tuned BERT for a custom sequence classification task, leveraging LoRA adapters for efficient parameter updates and 4-bit quantization to optimize performance and resource utilization.

nlp lora quantization data-augmentation nlp-augmentation llm qlora llm-fine-tuning peft-fine-tuning-llm llm-quantization